Fast and Efficient Numerical Finite Difference Method for Multiphase Image Segmentation

We present a simple numerical solution algorithm for a gradient flow for the Modica–Mortola functional and numerically investigate its dynamics. The proposed numerical algorithm involves both the operator splitting and the explicit Euler methods. A time step formula is derived from the stability ana...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Yibao Li, Sungha Yoon, Jian Wang, Jintae Park, Sangkwon Kim, Chaeyoung Lee, Hyundong Kim, Junseok Kim
Formato: article
Lenguaje:EN
Publicado: Hindawi Limited 2021
Materias:
Acceso en línea:https://doaj.org/article/f0733653ddd848d58da255a6c456502a
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:f0733653ddd848d58da255a6c456502a
record_format dspace
spelling oai:doaj.org-article:f0733653ddd848d58da255a6c456502a2021-11-29T00:56:53ZFast and Efficient Numerical Finite Difference Method for Multiphase Image Segmentation1563-514710.1155/2021/2414209https://doaj.org/article/f0733653ddd848d58da255a6c456502a2021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/2414209https://doaj.org/toc/1563-5147We present a simple numerical solution algorithm for a gradient flow for the Modica–Mortola functional and numerically investigate its dynamics. The proposed numerical algorithm involves both the operator splitting and the explicit Euler methods. A time step formula is derived from the stability analysis, and the goodness of fit of transition width is tested. We perform various numerical experiments to investigate the property of the gradient flow equation, to verify the characteristics of our method in the image segmentation application, and to analyze the effect of parameters. In particular, we propose an initialization process based on target objects. Furthermore, we conduct comparison tests in order to check the performance of our proposed method.Yibao LiSungha YoonJian WangJintae ParkSangkwon KimChaeyoung LeeHyundong KimJunseok KimHindawi LimitedarticleEngineering (General). Civil engineering (General)TA1-2040MathematicsQA1-939ENMathematical Problems in Engineering, Vol 2021 (2021)
institution DOAJ
collection DOAJ
language EN
topic Engineering (General). Civil engineering (General)
TA1-2040
Mathematics
QA1-939
spellingShingle Engineering (General). Civil engineering (General)
TA1-2040
Mathematics
QA1-939
Yibao Li
Sungha Yoon
Jian Wang
Jintae Park
Sangkwon Kim
Chaeyoung Lee
Hyundong Kim
Junseok Kim
Fast and Efficient Numerical Finite Difference Method for Multiphase Image Segmentation
description We present a simple numerical solution algorithm for a gradient flow for the Modica–Mortola functional and numerically investigate its dynamics. The proposed numerical algorithm involves both the operator splitting and the explicit Euler methods. A time step formula is derived from the stability analysis, and the goodness of fit of transition width is tested. We perform various numerical experiments to investigate the property of the gradient flow equation, to verify the characteristics of our method in the image segmentation application, and to analyze the effect of parameters. In particular, we propose an initialization process based on target objects. Furthermore, we conduct comparison tests in order to check the performance of our proposed method.
format article
author Yibao Li
Sungha Yoon
Jian Wang
Jintae Park
Sangkwon Kim
Chaeyoung Lee
Hyundong Kim
Junseok Kim
author_facet Yibao Li
Sungha Yoon
Jian Wang
Jintae Park
Sangkwon Kim
Chaeyoung Lee
Hyundong Kim
Junseok Kim
author_sort Yibao Li
title Fast and Efficient Numerical Finite Difference Method for Multiphase Image Segmentation
title_short Fast and Efficient Numerical Finite Difference Method for Multiphase Image Segmentation
title_full Fast and Efficient Numerical Finite Difference Method for Multiphase Image Segmentation
title_fullStr Fast and Efficient Numerical Finite Difference Method for Multiphase Image Segmentation
title_full_unstemmed Fast and Efficient Numerical Finite Difference Method for Multiphase Image Segmentation
title_sort fast and efficient numerical finite difference method for multiphase image segmentation
publisher Hindawi Limited
publishDate 2021
url https://doaj.org/article/f0733653ddd848d58da255a6c456502a
work_keys_str_mv AT yibaoli fastandefficientnumericalfinitedifferencemethodformultiphaseimagesegmentation
AT sunghayoon fastandefficientnumericalfinitedifferencemethodformultiphaseimagesegmentation
AT jianwang fastandefficientnumericalfinitedifferencemethodformultiphaseimagesegmentation
AT jintaepark fastandefficientnumericalfinitedifferencemethodformultiphaseimagesegmentation
AT sangkwonkim fastandefficientnumericalfinitedifferencemethodformultiphaseimagesegmentation
AT chaeyounglee fastandefficientnumericalfinitedifferencemethodformultiphaseimagesegmentation
AT hyundongkim fastandefficientnumericalfinitedifferencemethodformultiphaseimagesegmentation
AT junseokkim fastandefficientnumericalfinitedifferencemethodformultiphaseimagesegmentation
_version_ 1718407683965452288